Distributed optical interference system error propagation model analysis and construction method

Abstract

The invention discloses a distributed optical interference system error propagation model analysis and construction method. The method comprises the following steps: constructing an optical error model based on an optical generation source; constructing a dynamic error model based on a dynamic generation source; constructing an electronic error model based on an electronics generation source; constructing a force-light coupling term error model; and according to the optical error model, the dynamic error model, the electronic error model and the force-light coupling item error model, obtaining an error propagation model reflecting the overall distributed light interference system. According to the method, the stability of engineering simulation and implementation is enhanced, and the precision of scientific observation results is improved.

Description

Technical Field

[0001] The invention relates to a method for analyzing and constructing an error propagation model of a distributed optical interference system, and belongs to the overall technical field of distributed optical interference systems. Background Art

[0002] The distributed optical interference system is a system in which each unit is distributed at different measurement points, and can perform measurements simultaneously, and improve the accuracy and reliability of the measurements through optical path control, model analysis and data fusion technology. The error propagation model is a key factor under the multi-level optical path control of the distributed optical system, and is used to evaluate the deviation of the final optical beam combining output result. The distributed optical interference system can be ground-based or space-based, and the present invention mainly relates to a space-based distributed optical interference system. In order to achieve the purpose of interference accuracy of the optical beam combining system, it is necessary to consider a variety of factors, such as the stability and symmetry of optical devices, optical path design and other constraints, and to perform accurate error analysis and transmission of the coupling effects between the multiple modules therein, involving a deep degree of optical effects and high accuracy. In addition, the space environment has a certain degree of variability, and the constructed error propagation model must accurately and efficiently describe the system behavior, which is naturally complex.

[0003] At present, the error research on distributed optical interferometer systems at home and abroad is aimed at the imaging results of a single scientific target, or the modeling and analysis of the dynamics of engineering devices. Specifically, the current error model often focuses on the impact of a certain engineering component on the whole, relying on the evaluation of the impact of the measurement errors of different parameters on the overall design performance, and then evaluating the structural safety and functionality. Foreign TPF and other pre-research optical interferometer system projects consider the error impact of the optical imaging end, lacking practical factors such as overall optical model coupling and complex aerospace system elements such as scheme mapping. The error propagation model of the distributed optical interferometer system under the overall design needs to rely on the overall system error analysis and construction method based on the model, considering the error propagation mechanism of multiple error terms, involving a large number of modeling and coding activities and full-chain analysis work. Such activities are difficult to automatically and verifiably ensure the correctness of the intention conversion, and must be supplemented by project and manual testing. Objectively, it has formed a constraint on the development of modeling capabilities. At the same time, the commonly used modeling tools currently have problems such as the non-universal conversion of file-specific formats and the single development and editing tools. The optical imaging results in complex situations still need to be written separately and cannot be effectively integrated, which limits its further promotion and application.

[0004] At present, there is a lack of research on error propagation models at multiple scales for the entire distributed optical interferometer system. Detailed demonstration of such issues has not been carried out at home and abroad. According to the traditional error propagation analysis and construction method, it is necessary to complete the construction of the overall system and data acquisition, and then to characterize various errors in detail. The task is highly restricted and time-consuming.

[0005] This defect and deficiency is exactly the technical problem that the present invention needs to solve. It is necessary to construct an error propagation model of a distributed optical interferometer system through first-principles modeling, solve the error propagation model analysis and architecture design problems under multi-level, multi-scale, high-precision and multi-link conditions, and provide a model and theoretical basis for the engineering implementation and scientific observation of the next generation of large-scale observatories. Summary of the invention

[0006] The technical problem solved by the present invention is: to overcome the shortcomings of the prior art, to provide a method for analyzing and constructing an error propagation model of a distributed optical interferometer system, to solve the error propagation problem of a space-based distributed optical interferometer system, and at the same time to increase the understanding of the overall constraints of the optical interferometer system to complete the task more effectively.

[0007] The technical solution of the present invention is:

[0008] The present invention discloses a method for analyzing and constructing an error propagation model of a distributed optical interference system, including:

[0009] Construct an optical error model based on optical generation sources;

[0010] Construct a dynamic error model based on the dynamics generation source;

[0011] Construct electronic error models based on electronically generated sources;

[0012] Construct the force-light coupling error model;

[0013] According to the optical error model, dynamic error model, electronic error model and force-light coupling error model, an error propagation model reflecting the overall distributed light interference system is obtained.

[0014] Furthermore, in the above method, the optical error model is specifically:

[0015] σ opt =σ t +σ env +σ load

[0016] Among them, σ opt is the optical error, σ t is the observed target light source error, σ env is the environmental error, v load is the load error.

[0017] The method for analyzing and constructing a distributed light interferometer system error propagation model according to claim 2, wherein the observed target light source error is specifically:

[0018]

[0019] Among them, Ns is the photon count rate of the target source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A h ,A k is the amplitude intensity of the incident light under different baselines, is the error corresponding to the amplitude intensity, φ j ,φ k is the phase of the incident light under different baselines, is the corresponding phase error.

[0020] Furthermore, in the above method, it is characterized in that the environmental error is specifically:

[0021]

[0022] Among them, σ EZ is the solar system zodiacal dust error, σ LZ is the zodiacal dust error of the Milky Way, N EZ is the photon count rate of the space ambient light source, x h ,y h Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A h is the amplitude intensity of the incident light, is the error corresponding to the amplitude intensity, φ j is the phase of the incident light, is the corresponding phase error, B LZ is the brightness distribution of the zodiacal dust in the Milky Way, Ω j is the effective coverage solid angle of the space.

[0023] Furthermore, in the above method, the load error is specifically:

[0024]

[0025] Among them, σ OPD is the optical path difference error, σ I is the light intensity error, σ pol is the polarization error, σ mix is the coupling error, λ is the wavelength, δ i is the optical path difference between the optical output fringe and the reference value, σ δ is the optical path difference of the fringes, δ ref is the reference position of the optical output fringe, I is the light intensity, ΔI is the relative light intensity measurement difference, D is the beam diameter, θ1 and θ2 are the norms of the fringe positions of the two arms respectively, and α is the wavefront output polarization difference.

[0026] Furthermore, in the above method, the dynamic error model is specifically:

[0027] Determine the factors affecting orbital dynamics, including formation control, spacecraft position prediction and control, solar pressure and gravitational perturbations in orbit;

[0028] According to the influencing factors of the orbital dynamics, combined with the random drift of the spacecraft near the stable point, the error analysis is performed using the random sway model as the basic dynamics model of the spacecraft to obtain the orbital dynamics error analysis results;

[0029] Determine the factors affecting platform dynamics, including platform vibration and absolute position deviation;

[0030] According to the influencing factors of the platform dynamics, a six-degree-of-freedom Lagrangian dynamics model and vibration control are used to perform error analysis to obtain the platform dynamics error analysis results;

[0031] Determine the factors affecting load dynamics, including mechanical vibrations and micro-vibrations of optical systems;

[0032] According to the influence of the load dynamics device, a model combining a six-degree-of-freedom Lagrangian dynamics model and a Hamiltonian dynamics model is used to perform error analysis to obtain an error analysis result of the load dynamics device;

[0033] Determine the influencing factors of mechanical and thermal coupling, including material thermal deformation and material transformation;

[0034] According to the influencing factors of the mechanical and thermal coupling terms, the error analysis is carried out using a model combining physical optics and adaptive optics to obtain the error analysis results of the mechanical and thermal coupling terms.

[0035] The track dynamics error analysis results, platform dynamics error analysis results, load dynamics device error analysis results and mechanical-thermal coupling error analysis results are weighted averaged to obtain a dynamic error model.

[0036] Furthermore, in the above method, the electronic error model is specifically:

[0037]

[0038] Among them, σ ele is the electronic error, F is the excess noise factor, G is the gain, σ p is the photon shot noise, σ D is the dark current noise, σ C is the clock induced charge, σ R is the read noise.

[0039] Furthermore, in the above method, the error propagation model is specifically:

[0040]

[0041] Where σ is the total error, σ opt is the optical error, σ dyn is the dynamic error, σ ele is the electronic error, and ∈ is the force-optical coupling error.

[0042] The beneficial effects of the present invention and the prior art are:

[0043] (1) The present invention constructs the error propagation and model under the distributed optical interferometer system, which can realize the overall correspondence between a model construction and an optical interferometer system, realize the mapping of output results, enhance the stability of engineering simulation and implementation, and greatly improve the accuracy of scientific observation results;

[0044] (2) The present invention uses modeling and coupling of each subsystem to simulate the state changes between each error subsystem in the optical interference system, realizes a complete coupling link and error information transmission, breaks through technical barriers at all levels, and improves the efficiency of engineering implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of the analysis and construction of an error propagation model of a distributed optical interference system of the present invention;

[0046] Figure 2 This is an accuracy magnitude analysis diagram of each level of error model of the present invention. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0048] The present invention discloses a method for analyzing and constructing an error propagation model of a distributed optical interference system, including:

[0049] Step 1: construct an optical error model based on optical generation sources;

[0050] Step 2: construct a dynamic error model based on the dynamics generation source;

[0051] Step 3: construct an electronic error model based on electronic generation sources;

[0052] Step 4, construct the force-light coupling error model;

[0053] Step 5: According to the optical error model, the dynamic error model, the electronic error model and the force-light coupling error model, an error propagation model reflecting the overall distributed light interference system is obtained.

[0054] Preferably, the optical error model is specifically:

[0055] σ opt =σ t +σ env +σ load

[0056] Among them, σ opt is the optical error, σ t is the observed target light source error, σ env is the environmental error, σ load is the load error.

[0057] Preferably, the target light source error is observed, specifically:

[0058]

[0059] Among them, N s is the photon count rate of the target source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A j ,A k is the amplitude intensity of the incident light under different baselines, is the error corresponding to the amplitude intensity, φ j ,φ k is the phase of the incident light under different baselines, is the corresponding phase error.

[0060] Preferably, it is characterized in that the environmental error is specifically:

[0061]

[0062] Among them, σ EZ is the solar system zodiacal dust error, σ LZ is the zodiacal dust error of the Milky Way, N EZ is the photon count rate of the space ambient light source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A j is the amplitude intensity of the incident light, is the error corresponding to the amplitude intensity, φ j is the phase of the incident light, is the corresponding phase error, B LZ is the brightness distribution of the zodiacal dust in the Milky Way, Ω j is the effective coverage solid angle of the space.

[0063] Preferably, the load error is specifically:

[0064]

[0065] Among them, σ OPD is the optical path difference error, σ I is the light intensity error, σ pol is the polarization error, σ mix is the coupling error, λ is the wavelength, δ i is the optical path difference between the optical output fringe and the reference value, σ δ is the optical path difference of the fringes, δ ref is the reference position of the optical output fringe, I is the light intensity, ΔI is the relative light intensity measurement difference, D is the beam diameter, θ1 and θ2 are the norms of the fringe positions of the two arms respectively, and α is the wavefront output polarization difference.

[0066] Preferably, the dynamic error model is specifically:

[0067] Determine the factors affecting orbital dynamics, including formation control, spacecraft position prediction and control, solar pressure and gravitational perturbations in orbit;

[0068] According to the influencing factors of the orbital dynamics, combined with the random drift of the spacecraft near the stable point, the error analysis is performed using the random sway model as the basic dynamics model of the spacecraft to obtain the orbital dynamics error analysis results;

[0069] Determine the factors affecting platform dynamics, including platform vibration and absolute position deviation;

[0070] According to the influencing factors of the platform dynamics, a six-degree-of-freedom Lagrangian dynamics model and vibration control are used to perform error analysis to obtain the platform dynamics error analysis results;

[0071] Determine the factors affecting load dynamics, including mechanical vibrations and micro-vibrations of optical systems;

[0072] According to the influence of the load dynamics device, a model combining a six-degree-of-freedom Lagrangian dynamics model and a Hamiltonian dynamics model is used to perform error analysis to obtain an error analysis result of the load dynamics device;

[0073] Determine the influencing factors of mechanical and thermal coupling, including material thermal deformation and material transformation;

[0074] According to the influencing factors of the mechanical and thermal coupling terms, the error analysis is carried out using a model combining physical optics and adaptive optics to obtain the error analysis results of the mechanical and thermal coupling terms.

[0075] The track dynamics error analysis results, platform dynamics error analysis results, load dynamics device error analysis results and mechanical-thermal coupling error analysis results are weighted averaged to obtain a dynamic error model.

[0076] Preferably, the electronics error model is specifically:

[0077]

[0078] Among them, σ ele is the electronic error, F is the excess noise factor, G is the gain, σ p is the photon shot noise, σ D is the dark current noise, σ C is the clock induced charge, σ R is the read noise.

[0079] Preferably, the error propagation model is specifically:

[0080]

[0081] Where σ is the total error, σ opt is the optical error, σ dyn is the dynamic error, σ ele is the electronic error, and ∈ is the force-optical coupling error.

[0082] Example

[0083] like Figure 1 As shown, this embodiment provides a method for analyzing and constructing a distributed light interference system error propagation model, comprising the following steps:

[0084] Classification by source mainly includes optical error module, dynamic error module, electronic error module and error propagation model in the error system. The analysis and construction method includes the following steps:

[0085] (1) Establish a distributed optical interferometer system error analysis and construction system, and obtain key influencing parameters based on classical electromagnetics. Given the observation target and the system, there is a formula that affects the error:

[0086]

[0087] Among them, σ opt Represents the influence of the optical error module, σ dyn represents the influence of the dynamic error module, σ ele represents the influence of the electronic error module, and ∈ represents the influence of a small amount of error outside the module. Substituting the parameters of each error influence into the above formula, the overall error propagation influence result of the optical interference system can be obtained.

[0088] (2) According to the influence of the relevant error link in the optical propagation process from observation to reception in the distributed optical interferometer system, an optical error module based on the first principles is constructed, which includes the target light source photon count rate error generated by the target light source term, the ambient photon count rate error generated by the space environment term, and the optical path difference, phase, light intensity and other errors generated by the payload optical device term. Each error is independent of each other. Under the condition of satisfying the multi-constraints of the system, the physical optics theoretical model is combined with the simulation data to give an independent module error model.

[0089] (3) According to the influence of the dynamic mechanism inside and outside the distributed optical interference system, a multi-level link analysis is performed to construct a dynamic error module under the classical mechanical structure, including the orbit position offset error generated by the orbit term, the platform vibration error and platform ranging error generated by the platform term, the load vibration error generated by the load dynamic device term, and the load thermal deformation error generated by the mechanical-thermal coupling term. Since there are cross-level correlations between the errors, the error terms are not independent of each other. Under the condition of satisfying the multi-constraints of the system, the Lagrangian dynamic model is combined with the Hamiltonian dynamic model to give the error model of each independent module and the correlation influence of each term.

[0090] (4) Based on the influence of electronic components in the distributed optical interferometer system, an electronic error module is constructed, which includes errors such as excess noise, gain noise, photon shot noise, clock noise, and readout noise generated by the load term in the electronic transmission imaging process. Each error is independent of each other. Under the condition of satisfying multiple system constraints, the independent module error model is given by combining classical electromagnetics with the theoretical model of readout electronics.

[0091] (5) Analyze the force-light coupling term in the distributed light interference system other than those described in (2) and (3), and construct a force-light coupling term submodule, which includes the optical wavefront distortion error caused by the mechanical deformation generated by the force-light coupling term in the load. Under the condition of satisfying multiple system constraints, a method combining classical dynamics with physical optics theoretical models is adopted to give a force-light coupling term error model independent of steps (2) and (3).

[0092] (6) The error terms of each independent sub-module in the optical interference system are correlated and averaged over time to obtain and construct an overall error propagation model.

[0093] Example

[0094] like Figure 1 As shown, the analysis and construction of the error propagation model of a distributed optical interference system includes the following steps:

[0095] Step 1: Construct an error assessment model based on optical sources, including the observation target light source model, the space environment model during the light source transmission process, and the error assessment of the imaging results output by the payload optical device model. Perform error model analysis based on the target light source selected for scientific purposes, the effective field of view limitation during the transmission process, the optical path difference during the payload period, light intensity, polarization, and other influences to clarify the module error magnitude and model accuracy.

[0096] Step 2: Construct an error assessment model based on dynamic sources, which is independent of the optical model and is affected by the accuracy range of the system's multi-level control. It includes analysis of error models such as orbital terms, platform terms, load dynamic device terms, and mechanical and thermal coupling terms to clarify the error magnitude of each module and the accuracy of the model.

[0097] Step 3: Construct an error assessment model based on electronic sources, including various error models of electronic components in the payload, and clarify the error magnitude of each module and the accuracy of the model.

[0098] Step 4: Construct an error term independent of the force-optic coupling term in steps 1 and 2, which is expressed as a related term of the mutual coupling between optics and dynamics, and clarify its error magnitude and model accuracy.

[0099] Step 5: Correlation coupling and time-integrated averaging of various error evaluation modules are performed to obtain an error propagation model reflecting the overall distributed optical interferometer system.

[0100] The specific implementation steps of this embodiment are as follows:

[0101] Step 1: Analysis and construction of optical error module

[0102] Based on the optical propagation module of the distributed light interferometer system, the model and behavior influence of each transmission module are extracted. According to the observation target and transmission path of the distributed light interferometer system, the influencing variable module is divided into the target light source module, the space environment module and the payload optical device module.

[0103] Since the observed target is based on an extrasolar star system, the target light source module contains the photon count rate term of the star, which is affected by its shaking. Under the condition of keeping the other two error terms unchanged, it can be expressed as

[0104]

[0105] Among them, N s is the photon count rate of the target source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A j ,A k is the amplitude intensity of the incident light under different baselines, is the error corresponding to the amplitude intensity, φ j ,φ k is the phase of the incident light under different baselines, is the error of the corresponding phase. From the above formula, it can be seen that the light counting instability caused by the shaking of the target source is a function of the position information, amplitude information and phase information of the incident light, which is independent of the spatial environment of the transmission process and the error term in the optical device at the terminal of the optical interference system.

[0106] The space environment module includes the influence of the solar system zodiacal dust term and the Milky Way zodiacal dust term. According to the observation direction of the selected sky area, it is different from the count rate of the target source itself and can be expressed as

[0107]

[0108] Among them, σ EZ is the solar system zodiacal dust error, σ LZ is the zodiacal dust error of the Milky Way, N EZ is the photon count rate of the space ambient light source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A j is the amplitude intensity of the incident light, is the error corresponding to the amplitude intensity, φ j is the phase of the incident light, is the corresponding phase error, B LZ is the brightness distribution of the zodiacal dust in the Milky Way, Ω j is the effective spatial solid angle. In the above formula, the influence of the solar system zodiacal dust on the system error is mainly the background count rate, which is related to the position information, amplitude information and phase information of its optical input. The influence of the Milky Way zodiacal dust on the system error is mainly related to the non-signal input, baseline solid angle and amplitude information. This part is independent of the error term in the optical device at the terminal of the target light source and the optical interferometer system.

[0109] The optical device module is located in the distributed optical interferometer system load, which includes optical path difference, light intensity, polarization and coupling terms. It is affected by the accuracy and asymmetry of the optical device and can be expressed as

[0110]

[0111] Among them, σ OPD is the optical path difference error, σ I is the light intensity error, σ pol is the polarization error, σ mix is the coupling error, λ is the wavelength, δ i is the optical path difference between the optical output fringe and the reference value, σδ is the optical path difference of the fringes, δ ref is the reference position of the optical output stripe, I is the light intensity, ΔI is the relative light intensity measurement difference, D is the beam diameter, θ1 and θ2 are the norms of the two-arm stripe positions, and α is the wavefront output polarization difference. It can be seen from the above formula that the deviation of the optical path difference and the light intensity is affected by the stripe displacement of the stripe tracking camera, while the polarization error term mainly comes from the structural asymmetry and reflection delay of the optical device, which is reflected in the deviation of the output result. This part is independent of the error term of the target light source and the spatial environment during the transmission process.

[0112] Step 2: Analysis and construction of the dynamics error module, such as Figure 2 shown.

[0113] Based on the dynamics module of the distributed light interference system, the model and behavior influence of each transmission module are extracted. According to the control scale and level of the distributed light interference system, the influencing variable modules can be divided into track, platform, load dynamic device and mechanical and thermal coupling items.

[0114] The influencing factors of orbital dynamics are reflected in formation control, spacecraft position prediction and control. Considering the influence of solar light pressure and gravitational perturbation in the orbit, the spacecraft will drift randomly near the Sun-Earth L2 stable point. The error analysis is carried out with the random sway model as its basic dynamic model. The influencing factors of platform dynamics are reflected in platform vibration and absolute position deviation. Considering the high-precision, large-scale, and multi-factor targets of scientific instruments, the six-degree-of-freedom Lagrangian dynamics model and vibration control are used for error analysis. According to the analysis of the vibration and measurement error terms of each dynamic device of the platform, the overall error influence is obtained. The influencing factors of the load dynamic device are reflected in the mechanical vibration and micro-vibration of the optical system. Considering the precise measurement of the beam of the optical path adjustment system, the Michelson interferometer beam combining system, and the Mach-Zehnder interferometer beam combining system, the error analysis is carried out using a model combining the six-degree-of-freedom Lagrangian dynamics model and the Hamiltonian dynamics model. The cross-level mechanical and thermal coupling error in the distributed optical interferometer system is reflected in the thermal coupling deformation that affects both the platform and the load. The mechanical and thermal coupling term dynamic error affects the material properties and thermal deformation through thermal effects, affecting the measurement accuracy of the dynamic device. The error analysis is carried out by considering the model combining physical optics and adaptive optics. By constructing various error models and coupling terms, the overall dynamic error module model is obtained by overall weighted average.

[0115] Step 3: Analysis and construction of the electronics error module

[0116] Based on the electronic module of the distributed optical interferometer system, the model and behavior influence of each transmission module are extracted. According to the influence of the electronic noise of the load device in the distributed optical interferometer system on the measurement results of the optical interferometer system, the electronic error model is studied. The influencing factors of electronic error come from various types of noise injected into electronic components by optical signals, which are specifically expressed as

[0117]

[0118] Among them, σ ele is the electronic error, F is the excess noise factor, G is the gain, σ p is the photon shot noise, σ D is the dark current noise, σ C is the clock induced charge, σ R is the readout noise. The total error includes the influence of gain signal, photon scattering, dark current, clock, etc. It is considered that each noise is independent of each other, and the background model is constructed and noise reduction is performed.

[0119] Step 4: Analysis and construction of force-light coupling terms

[0120] The force-light coupling term module based on the distributed optical interferometer system mainly includes the cross-scale coupling effects of the load level and the optical imaging level. Due to the precision and complexity of the optical system in the load, there are errors that are affected by both dynamics and optical mechanisms, such as wavefront distortion caused by material force deformation, light pressure and light leakage inside the mechanical structure, etc. The force-light coupling term error changes the output characteristics of the optical material through the influence of dynamics and mechanical structure, causing inaccuracy in the output results of scientific observations. Separate the independent error term modules in processes 1 and 2, consider the error terms involving the mutual coupling of optical and dynamic mechanisms, and analyze and construct the force-light coupling term error model. By studying the optical distortion error terms caused by light pressure and mechanical structure, they are considered separately and the magnitude is estimated, and the error model of the force-light coupling term is constructed.

[0121] Step 5: Error propagation model construction

[0122] The subsystem error modules constructed through the above steps 1, 2, 3, and 4 are combined by correlation coupling. For those whose magnitude accuracy has little impact on the process, approximate processing can be performed on the target output results. The errors of each module are combined and averaged by time integration to obtain the overall error propagation model and the error impact of the system.

[0123] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

[0124] The contents not described in detail in the specification of the present invention belong to the common knowledge of the professionals in this field.

Claims

1. Analysis and construction method of error propagation model of distributed optical interferometer system, characterized in that: include: Construct an optical error model based on optical generation sources; Construct a dynamic error model based on the dynamics generation source; Construct electronic error models based on electronically generated sources; Construct the force-light coupling error model; According to the optical error model, dynamic error model, electronic error model and force-light coupling error model, an error propagation model reflecting the overall distributed light interference system is obtained.

2. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 1, characterized in that: The optical error model is specifically: s opt =s t +s env +s load Among them, σ opt is the optical error, σ t is the observed target light source error, σ env is the environmental error, σ load is the load error.

3. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 2, characterized in that: The observed target light source error is specifically: Among them, N s is the photon counting rate of the target source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A j ,A k is the amplitude intensity of the incident light under different baselines, is the error corresponding to the amplitude intensity, φ j ,φ k is the phase of the incident light under different baselines, is the corresponding phase error.

4. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 2, characterized in that: The environmental error is specifically: Among them, σ EZ is the solar system zodiacal dust error, σ LZ is the zodiacal dust error of the Milky Way, N EZ is the photon count rate of the space ambient light source, x j ,y j Corresponding to the baseline coordinates of the target light source incident on the telescope system, is the error corresponding to the baseline coordinate, A j is the amplitude intensity of the incident light, is the error corresponding to the amplitude intensity, φ j is the phase of the incident light, is the corresponding phase error, B LZ is the brightness distribution of the zodiacal dust in the Milky Way, Ω j is the effective coverage solid angle of the space.

5. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 1, characterized in that: The load error is specifically: Among them, σ OPD is the optical path difference error, σ I is the light intensity error, σ pol is the polarization error, σ mix is the coupling error, λ is the wavelength, δ i is the optical path difference between the optical output fringe and the reference value, σ δ is the optical path difference of the fringes, δ ref is the reference position of the optical output fringe, I is the light intensity, ΔI is the relative light intensity measurement difference, D is the beam diameter, θ1 and θ2 are the norms of the fringe positions of the two arms respectively, and α is the wavefront output polarization difference.

6. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 1, characterized in that: The dynamic error model is specifically: Determine the factors affecting orbital dynamics, including formation control, spacecraft position prediction and control, solar pressure and gravitational perturbations in orbit; According to the influencing factors of the orbital dynamics, combined with the random drift of the spacecraft near the stable point, the error analysis is performed using the random sway model as the basic dynamics model of the spacecraft to obtain the orbital dynamics error analysis results; Determine the factors affecting platform dynamics, including platform vibration and absolute position deviation; According to the influencing factors of the platform dynamics, a six-degree-of-freedom Lagrangian dynamics model and vibration control are used to perform error analysis to obtain the platform dynamics error analysis results; Determine the factors affecting load dynamics, including mechanical vibrations and micro-vibrations of optical systems; According to the influence of the load dynamics device, a model combining a six-degree-of-freedom Lagrangian dynamics model and a Hamiltonian dynamics model is used to perform error analysis to obtain an error analysis result of the load dynamics device; Determine the influencing factors of mechanical and thermal coupling, including material thermal deformation and material transformation; According to the influencing factors of the mechanical and thermal coupling terms, the error analysis is carried out using a model combining physical optics and adaptive optics to obtain the error analysis results of the mechanical and thermal coupling terms. The track dynamics error analysis results, platform dynamics error analysis results, load dynamics device error analysis results and mechanical-thermal coupling error analysis results are weighted averaged to obtain a dynamic error model.

7. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 1, characterized in that: The electronics error model is specifically: Among them, σ ele is the electronic error, F is the excess noise factor, G is the gain, σ p is the photon shot noise, σ D is the dark current noise, σ C is the clock induced charge, σ R is the read noise.

8. The method for analyzing and constructing an error propagation model of a distributed light interferometer system according to claim 1, characterized in that: The error propagation model is specifically: Where, σ is the total error, σ opt is the optical error, σ dyn is the dynamic error, σ ele is the electronic error, and ∈ is the force-optical coupling error.

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